[HTML][HTML] Machine learning applications in biomass pyrolysis: from biorefinery to end-of-life product management

DA Akinpelu, OA Adekoya, PO Oladoye… - Digital Chemical …, 2023 - Elsevier
The thermochemical conversion of biomass is a promising technology due to its cost-
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …

Pure hydrogen gas production in a coal supercritical water gasification system with CO2 as transporting medium

W Wang, Q Zhao, B Lu, J Shi, H Jin - Applied Thermal Engineering, 2024 - Elsevier
Supercritical water gasification (SCWG) technology was a clean coal conversion and
utilization technology, which could decompose low-grade coal into gaseous products and …

[HTML][HTML] Advances in biorenewables-resource-waste systems and modelling

M Guo, C Wu, S Chapman, X Yu, T Vinestock… - Carbon Capture Science …, 2023 - Elsevier
The transformation to a resource-circular bio-economy offers a mechanism to mitigate
climate change and environmental degradation. As advanced bioeconomy components …

Monthly climate prediction using deep convolutional neural network and long short-term memory

Q Guo, Z He, Z Wang - Scientific Reports, 2024 - nature.com
Climate change affects plant growth, food production, ecosystems, sustainable socio-
economic development, and human health. The different artificial intelligence models are …

Microwave-assisted fluidized bed reactor pyrolysis of polypropylene plastic for pyrolysis gas production towards a sustainable development

Y Cui, Y Zhang, L Cui, Q Xiong, E Mostafa - Applied Energy, 2023 - Elsevier
Conversion of plastic wastes into value added fuels is a good way for sustainable
development. In this study, microwave-assisted fluidized bed reactor pyrolysis of …

Machine learning based prediction of biomass pyrolysis with detailed reaction kinetics for thermally-thick particles: from 1D to 0D

H Luo, X Wang, X Liu, L Yi, X Wu, X Yu… - Chemical Engineering …, 2023 - Elsevier
In reactor-scale CFD modeling of biomass pyrolysis with thermally-thick particles, zero-
dimensional (0D) models coupled with lumped kinetics are commonly used, as they are …

Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative …

JY Kim, UH Shin, K Kim - Energy, 2023 - Elsevier
A fluidized bed system for biomass gasification is considered a useful implementation with
advantages of good heat and mass transfer and uniform heat across the bed that can reduce …

A hybrid safety monitoring framework for industrial FCC disengager coking rate based on FPM, CFD, and ML

M Zhang, Z Yang, Y Zhao, M Lv, X Lan, X Shi… - Process Safety and …, 2023 - Elsevier
This work proposed a hybrid modeling framework for the safety monitoring of coking rates in
FCC (Fluidized Catalytic Cracking) disengager. The framework combines CFD …

Numerical simulation study of the phase transition heat transfer of nanoparticle-enhanced heat storage tubes

Y Liu, L Sun, J Zheng, L Yang, L Jiang… - Applied Thermal …, 2023 - Elsevier
Latent heat thermal energy storage (LHTES), which absorbs or releases heat using phase
change materials (PCMs), is one popular energy storage technology. The low thermal …

[HTML][HTML] Synergistic catalysis of the N-hydroxyphthalimide on flower-like bimetallic metal-organic frameworks for boosting oxidative desulfurization

J He, K Zhu, W Jiang, DA Zhu, LH Zhu, HY Huang… - Petroleum Science, 2024 - Elsevier
Synergic catalytic effect between active sites and supports greatly determines the catalytic
activity for the aerobic oxidative desulfurization of fuel oils. In this work, Ni-doped Co-based …